Here we consider quantitatively using convexity the approximation of a function by general positive sublinear operators with applications to Max-product operators. These are of Bernstein type, of Favard–Szász–Mirakjan type, of Baskakov type, of Meyer–Köning and Zeller type, of sampling type, of Lagrange interpolation type and of Hermite–Fejér interpolation type. Our results are both: under the presence of smoothness and without any smoothness assumption on the function to be approximated which fulfills a convexity property. It follows Anastassiou (Approximation by Sublinear and Max-product Operators using Convexity, 2017, [6])
The present review paper provides recent results on convexity and its applications to the constraine...
Here we study the approximation of functions by sublinear positive operators with applications to a ...
Here we consider the quantitative approximation of positive sublinear operators to the unit operator...
Here we consider quantitatively using convexity the approximation of a function by general positive ...
Here we consider quantitatively using convexity the approximation of a function by general positive ...
Here we search quantitatively under convexity the approximation of multivariate function by general ...
Here we study quantitatively the approximation of multivariate function by general multivariate posi...
Here we study the approximation of functions by a great variety of Max-Product operators under diffe...
Here we study quantitatively the approximation of multivariate function by general multivariate posi...
Here we consider the approximation of functions by a large variety of Max-Product operators under co...
Here we study the approximation of functions by positive sublinear operators under differentiability...
Here, we consider the approximation of functions by a large variety of max-product operators under c...
In this paper, we study the approximation of functions by positive sublinear operators under differe...
Here we study quantitatively the high degree of approximation of sequences of linear operators actin...
We analyse the C1,1 tight approximations of the finite maximum function defined by the upper compens...
The present review paper provides recent results on convexity and its applications to the constraine...
Here we study the approximation of functions by sublinear positive operators with applications to a ...
Here we consider the quantitative approximation of positive sublinear operators to the unit operator...
Here we consider quantitatively using convexity the approximation of a function by general positive ...
Here we consider quantitatively using convexity the approximation of a function by general positive ...
Here we search quantitatively under convexity the approximation of multivariate function by general ...
Here we study quantitatively the approximation of multivariate function by general multivariate posi...
Here we study the approximation of functions by a great variety of Max-Product operators under diffe...
Here we study quantitatively the approximation of multivariate function by general multivariate posi...
Here we consider the approximation of functions by a large variety of Max-Product operators under co...
Here we study the approximation of functions by positive sublinear operators under differentiability...
Here, we consider the approximation of functions by a large variety of max-product operators under c...
In this paper, we study the approximation of functions by positive sublinear operators under differe...
Here we study quantitatively the high degree of approximation of sequences of linear operators actin...
We analyse the C1,1 tight approximations of the finite maximum function defined by the upper compens...
The present review paper provides recent results on convexity and its applications to the constraine...
Here we study the approximation of functions by sublinear positive operators with applications to a ...
Here we consider the quantitative approximation of positive sublinear operators to the unit operator...